Staff Data Engineer, Applied Machine Learning

About Us

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems. 

Job Description: 

Are you passionate about driving innovation through machine learning? Do you thrive in building and optimizing ML systems? If so, we have an exciting opportunity for you as a founding team member and lead data engineer at a stealth healthcare incubation. 

As a Staff Data Engineer specializing in Applied Machine Learning, you will be at the forefront of driving the development and optimization of our ML systems. You will play a crucial role in training ML models, building training pipelines, fine-tuning Language Models (LLMs), and designing feedback systems to continuously improve their performance. If you're a forward-thinking, technically adept individual with a passion for machine learning, this role is for you. 

 

Responsibilities: 

• Lead the team in architecting, building, and optimizing ML systems to deliver high-quality, real-world results. 
• Design and implement robust training pipelines for machine learning models, ensuring efficiency and scalability. 
• Fine-tune ML models to meet specific business needs and optimize their performance for various applications.
• Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of ML. 
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable ML solutions. 
• Stay up-to-date with the latest advancements in machine learning and implement best practices to enhance our ML infrastructure. 
• Coach and mentor junior data engineers, fostering a culture of continuous learning and growth within the team. 
• Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. 

 

Requirements: 

• Proven experience in a leadership role driving ML system development and optimization. 
• Demonstrated expertise in training ML models and building robust training pipelines.  
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or similar. 
• Proficient in programming languages like Python or Go, with the ability to write efficient, clean, and maintainable code. 
• Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences. 
• A track record of delivering impactful machine learning solutions that have been successfully deployed in real-world applications. 

 

Benefits: 

• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
• Paid maternity and paternity for 14 weeks at employees' normal pay.
• Unlimited PTO, with management approval with all Federal holidays observed.
• Opportunities for professional development and continued learning.
• Occasional travel to our offices in Washington D.C or alternative locations to collaborate with your team in person.
• Optional 401K and FSA available.
• Ability to work fully remote within the United States. 

 

 

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.